1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
|
/**
* Copyright (c) 2016-present, Facebook, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "caffe2/experiments/operators/tt_contraction_op.h"
namespace caffe2 {
REGISTER_CPU_OPERATOR(TTContraction, TTContractionOp<float, CPUContext>);
OPERATOR_SCHEMA(TTContraction)
.NumInputs(2)
.NumOutputs(1)
.SetDoc(R"DOC(
Tensor contraction C = A * B
)DOC")
.Arg("K", "i_{k-1} * r_k")
.Arg("M", "r_{k-1} * o_{k-1}")
.Arg("N", "o_k")
.Input(0, "A", "2D matrix of size (K x M)")
.Input(1, "B", "tensor")
.Output(0, "C", "contracted tensor");
REGISTER_CPU_OPERATOR(
TTContractionGradient,
TTContractionGradientOp<float, CPUContext>);
OPERATOR_SCHEMA(TTContractionGradient).NumInputs(3).NumOutputs(2);
class GetTTContractionGradient : public GradientMakerBase {
using GradientMakerBase::GradientMakerBase;
vector<OperatorDef> GetGradientDefs() override {
return SingleGradientDef(
"TTContractionGradient",
"",
vector<string>{GO(0), I(0), I(1)},
vector<string>{GI(0), GI(1)},
Def().arg());
}
};
REGISTER_GRADIENT(TTContraction, GetTTContractionGradient);
} // namespace caffe2
|
